Deep Convolutional Neural Network for The Prognosis of Diabetic Retinopathy

This book discusses a detailed overview of diabetic retinopathy,  symptoms, causes, and screening methodologies. Using a deep convolution  neural network and visualizations techniques, this work develops a  prognosis system used to automatically detect the diabetic retinopathy  disease from captured retina images and help improve the prediction rate  of diagnosis. This book gives the readers an understanding of the  diabetic retinopathy disease and recognition process that helps to  improve the clinical analysis efficiency. It caters to general  ophthalmologists and optometrists, diabetologists, and internists who  encounter diabetic patients and most prevalent retinal diseases daily.